3卷 第2期
Department of Science and Technology, Xiamen University Malaysia, Negeri Selangor,Malaysia,43900
纸质出版日期： 2022 ，
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(2022). Survey of Recommendation System Based on Knowledge Graph. 科技理论与实践（英文版）, 3(2), 50-58.
YICHEN LIU. (2022). Survey of Recommendation System Based on Knowledge Graph. Theory and Practice of Science and Technology, 3(2), 50-58..
(2022). Survey of Recommendation System Based on Knowledge Graph. 科技理论与实践（英文版）, 3(2), 50-58. DOI： 10.47297/taposatWSP2633-456923.20220302.
YICHEN LIU. (2022). Survey of Recommendation System Based on Knowledge Graph. Theory and Practice of Science and Technology, 3(2), 50-58.. DOI： 10.47297/taposatWSP2633-456923.20220302.
Recommendation system has been widely used in various websites and platforms and plays a critical role. However
the traditional recommendation system has some difficult problems such as cold start and data sparsity. With the deepening of knowledge graph research in recent years
some scholars find that the interrelated data contained in the knowledge graph can solve the above problems. Therefore
this paper will first introduce the relevant background knowledge
including the existing traditional recommendation methods and the advantages of combining with knowledge graph. Then
in the third part
the existing recommendation systems based on knowledge graph and related research in recent years will be introduced. Finally
in the fourth part
the future development of recommendation system based on knowledge graph will be prospected
and several possible development directions will be given.
RecommendationSystemKnowledgeGraphOntologyGraphEmbeddingEntityConnection
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